Hello, Not a question. Tried a different way of filling up missing values. https://learn.365datascience.com/courses/time-series-analysis-in-python/filling-missing-values/ Module4, Time Series, Filling missing values. The instructor suggested we could use ffil, bfill or column mean() to fill nikkei. I took the mean of ffil and bfill and filled the nikkei market index values. Regards

Hi Rajya, thanks for reaching out and for the suggestion, it's great to have feedback and also learn from our students :) Best, 365 Eli

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20 Oct 2021

Posted on:

26 Sept 2021

Filling missing values in case of the market index data

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Posted on:

20 Oct 2021